python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "AQWan.csv" --strategy-args '{"horizon": 96}' --model-name "pathformer.Pathformer" --model-hyper-params '{"batch_size": 256, "d_ff": 64, "d_model": 8, "gpu": 6, "horizon": 96, "k": 2, "learning_rate": 0.0005, "norm": true, "num_nodes": 11, "patch_size_list": [[42, 24, 12, 16], [42, 28, 16, 12], [16, 28, 12, 42]], "seq_len": 336}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "AQWan/Pathformer"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "AQWan.csv" --strategy-args '{"horizon": 192}' --model-name "pathformer.Pathformer" --model-hyper-params '{"batch_size": 256, "d_ff": 64, "d_model": 8, "gpu": 6, "horizon": 192, "k": 2, "learning_rate": 0.0005, "norm": true, "num_nodes": 11, "patch_size_list": [[42, 24, 12, 16], [42, 28, 16, 12], [16, 28, 12, 42]], "seq_len": 336}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "AQWan/Pathformer"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "AQWan.csv" --strategy-args '{"horizon": 336}' --model-name "pathformer.Pathformer" --model-hyper-params '{"batch_size": 256, "d_ff": 64, "d_model": 8, "gpu": 6, "horizon": 336, "k": 2, "learning_rate": 0.0005, "norm": true, "num_nodes": 11, "patch_size_list": [[42, 24, 12, 16], [42, 28, 16, 12], [16, 28, 12, 42]], "seq_len": 336}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "AQWan/Pathformer"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "AQWan.csv" --strategy-args '{"horizon": 720}' --model-name "pathformer.Pathformer" --model-hyper-params '{"batch_size": 256, "d_ff": 64, "d_model": 8, "gpu": 6, "horizon": 720, "k": 2, "learning_rate": 0.0005, "norm": true, "num_nodes": 11, "patch_size_list": [[42, 24, 12, 16], [42, 28, 16, 12], [16, 28, 12, 42]], "seq_len": 336}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "AQWan/Pathformer"

